U.S. Edge AI Market Size & Trends
Expected to rise at a CAGR of 16.9%, the USD 6898.8 million U.S. edge AI market size in 2024 is Several elements can help to explain this notable increase, including government programs encouraging the acceptance of artificial intelligence and large private company investments. Furthermore, driving this nation's development is the growing need for real-time data processing and analysis at the edge of the network. Industries including healthcare, manufacturing, and telecommunications—which try to improve operational efficiency and lower latency by processing data nearer to its source—are driving this explosion.
Moreover, the U.S. market gains from superior research facilities that propel artificial intelligence technical breakthroughs and a highly qualified workforce. Including artificial intelligence in industries including retail, healthcare, and automotive is improving operational efficiencies and allowing fresh service models based on edge real-time data analysis. This development emphasizes how important edge artificial intelligence is to satisfy the rising need for quicker and more dependable data processing.
The market is projected to see a flood of fresh applications and services meant to enhance user experience and operational outcomes as companies all around the United States keep spending on edge artificial intelligence technology. The focus on creating scalable solutions that fit different sector requirements will likely help the U.S. market grow even more dynamically.
Furthermore, Synaptics Incorporated revealed in January 2025 their collaboration with Google to forward edge artificial intelligence for the Internet of Things (IoT). This cooperation seeks to define the optimal multimodal processing techniques in context-aware computing. Under the cooperation, Google's machine learning core—which follows the MLIR architecture—will be combined on Synaptics' Astra hardware with open-source software tools.
Component Insights
The hardware segment accounted for the highest revenue share of 51.9% in 2024. The rising need for real-time data processing capabilities in various applications such as IoT devices, autonomous vehicles, and smart cities primarily fuels this growth. With businesses increasingly relying on local data processing to enhance operational efficiency and reduce latency, the demand for advanced hardware solutions is increasing. Major players in the market are focusing on developing specialized processors and GPUs that cater to these needs, thereby expanding their market share. The market is witnessing significant changes. For instance, in April 2025, NVIDIA is launching the first-ever American-made AI supercomputers, partnering with leading manufacturers to build and test NVIDIA Blackwell chips and AI systems in Arizona and Texas. This initiative aims to produce up to half a trillion dollars of AI infrastructure in the U.S., creating hundreds of thousands of jobs and strengthening the domestic AI supply chain
The software segment registered a CAGR of 19.7% from 2025 to 2030. This growth can be attributed to the increasing demand for software solutions that facilitate real-time analytics and machine learning at the edge. As organizations seek to harness the power of AI-driven insights without relying heavily on centralized cloud systems, there is a growing emphasis on developing sophisticated software applications tailored for edge environments. The nation is implementing significant initiatives. One such initiative took place in May 2025. Qualcomm Technologies and Aramco Digital have teamed up to create and sell advanced edge AI and industrial IoT solutions, using Aramco Digital’s 450 MHz 5G industrial network to improve efficiency, safety, and sustainability in Saudi Arabia’s industries, supporting Vision 2030. This partnership aims to accelerate digital transformation and innovation in the Kingdom’s industrial sectors through cutting-edge AI and 5G technologies
Report Coverage & Deliverables
The PDF report and online dashboard will help you understand
- Competitive benchmarking
- Historical data & forecasts
- Company revenue shares
- Regional opportunities
- Latest trends & dynamics
End Use Insights
The consumer electronics segment accounted for the largest market revenue share in 2024. The increasing integration of Artificial Intelligence (AI) into everyday devices like smartphones, smart speakers, and wearables is driving the market in the country. For instance, Amazon’s Alexa operating in the U.S. employs AI through Natural Language Processing (NLP) to interpret and respond to voice commands. Furthermore, Alexa utilizes Machine Learning (ML) to refine its responses by continuously learning from user interactions. These devices are becoming more intelligent and capable of processing data locally through AI technologies. This shift enhances user experience by enabling features such as voice recognition, personal recommendations, and real-time analytics.
The manufacturing segment is projected to grow significantly over the forecast period. The market is driven by the ongoing transformation within the industry toward Industry 4.0 practices that emphasize automation and data-driven decision-making. Edge AI technologies enable real-time monitoring and predictive machinery maintenance, significantly enhancing operational efficiency. For instance, in May 2025, Schneider Electric launched a generative AI factory-edge copilot in the U.S., developed with Microsoft, to address labor shortages and optimize factory performance. Simultaneously, it opened a 26 MW renewable-powered AI data center in Sines, Portugal, establishing a major green AI hub to support Europe's digital sovereignty and AI infrastructure. These initiatives strengthen Schneider’s edge-to-core industrial AI capabilities, combining advanced automation, robotics, and sustainable energy solutions for smart manufacturing and digital infrastructure.
Key U.S. Edge AI Market Company Insights
Prominent firms have used product launches and developments, followed by expansions, mergers and acquisitions, contracts, agreements, partnerships, and collaborations as their primary business strategy to increase their market share. The companies have used various techniques to enhance market penetration and boost their position in the competitive industry.
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Qualcomm Technologies, Inc., headquartered in San Diego, specializes in semiconductor design, software, and wireless technology. Renowned for its breakthroughs in 5G and Snapdragon chipsets, Qualcomm supports a broad spectrum of devices, including smartphones, IoT products, and automotive systems. The company continues to advance wireless connectivity solutions through its main business divisions and global technology licensing.
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Ambarella International LP is a fabless semiconductor company focusing on low-power, high-definition video compression, image processing, and AI vision technologies. Its solutions are used across various applications such as video surveillance, advanced driver assistance systems (ADAS), autonomous vehicles, and robotics, enabling smart data analysis from high-resolution video. The company has transitioned from HD video encoding to leading advancements in AI-driven computer vision, with a strategic emphasis on the automotive and AIoT sectors.
Key U.S. Edge AI Companies
- NVIDIA Corporation
- Qualcomm Technologies, Inc.
- Intel Corporation
- Advanced Micro Devices, Inc.
- Ambarella International LP.
- Synaptics Incorporated.
- Amazon Web Services, Inc.
- Nutanix
- BrainChip, Inc.
Recent Developments
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In May 2025, NVIDIA and its partners announced cutting-edge robotic and industrial AI technologies to tackle key manufacturing issues such as labor shortages and reshoring. NVIDIA Isaac Lab 2.1 uses synthetic data to speed up robot training, and state-of-the-art robots like Universal Robots’ UR15 and Vention’s MachineMotion AI controller leverage NVIDIA’s high-performance computing platforms. NVIDIA also launched AI agents for real-time video analysis in factory settings, improving efficiency and safety, supported by solutions such as Siemens’ Industrial Copilot for Operations.
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In March 2025, Intel introduced its new Intel AI Edge Systems, Edge AI Suites, and the Open Edge Platform. That helps to speed up AI implementation at the edge across sectors such as retail, manufacturing, smart cities, and media. These offerings streamline the integration of AI into current infrastructure, enhancing performance and energy efficiency and reducing overall costs. By embracing an open ecosystem, Intel empowers partners to quickly create and deploy AI solutions designed to address real-world edge challenges, fostering innovation and accelerating the launch of AI applications.
U.S. Edge AI Market Report Scope
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Report Attribute |
Details |
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Market size in 2025 |
USD 8002.4 million |
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Revenue forecast in 2030 |
USD 17437.6 million |
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Growth rate |
CAGR of 16.9% from 2025 to 2030 |
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Base year for estimation |
2024 |
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Historical data |
2018-2023 |
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Forecast period |
2025-2030 |
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Quantitative units |
Revenue in USD million/billion and CAGR from 2025 to 2030 |
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Report coverage |
Revenue forecast, company ranking, competitive landscape, growth factors, and trends |
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Segments covered |
Component, end use |
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Key companies profiled |
NVIDIA Corporation; Qualcomm Technologies, Inc.; Intel Corporation; Advanced Micro Devices, Inc.; Ambarella International LP.; Synaptics Incorporated; Amazon Web Services, Inc.; Google; Nutanix; BrainChip, Inc. |
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Customization scope |
We offer free report customization (equivalent to up to 8 analysts' working days) with every purchase. You can include or modify the scope of the country, region, and segment. |
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Pricing and purchase options |
Avail yourself of customized purchase options to meet your exact research needs. Explore purchase options |
U.S. Edge AI Market Report Segmentation
This report forecasts revenue growth in the U.S. and provides an analysis of the latest industry trends in each of the subsegments from 2018 to 2030. For this study, MIR has segmented the U.S. edge AI market report based on component and end use.
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Component Outlook (Revenue, USD Million, 2018-2030)
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Hardware
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Software
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Edge Cloud Infrastructure
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Services
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End Use Outlook (Revenue, USD Million, 2018-2030)
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Consumer Electronics
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Smart Cities
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Manufacturing
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Automotive
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Government
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Healthcare
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IT & Telecom
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Energy
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Retail
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Others
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